Artificial Intelligence Architect

5 days ago


anand, India beBeeGenerativeAIEngineer Full time

Role - Generative AI EngineerExperience – 10 to 18 yearsWork Location – RemoteNotice Period – Immediate Joiners or Serving Notice or 30 daysKey QualificationsBachelor's degree in Computer Science, Machine Learning or related field with Master's or PhD preferred.5+ years of experience in ML/Data Science with a focus on generative AI, LLMs or computer vision.Expertise in large-scale Transformer-based models (GPT, VLMs).Experience working with multimodal datasets (text, images, 3D).Strong proficiency in Python and libraries like PyTorch, TensorFlow, NumPy, and pandas.Solid foundation in probability, statistics, and optimisation.Hands-on experience deploying ML models using cloud microservices.Strong software engineering background – OOP, testing, version control, CI/CD, and IaC.Excellent communication and stakeholder management skills.Responsibilities:Technical Leadership: Define the AI vision and technical direction; establish best practices for the Generative AI team.Strategy & Roadmap: Shape and execute the AI strategy, identifying high-impact use cases.Model Development: Design, build, and deploy advanced generative and large language models (LLMs) for multimodal document and data processing.Multimodal Innovation: Integrate text, image, and 3D data for intelligent, automated solutions.Scalable Engineering: Build and maintain large-scale data pipelines and model training workflows.Cloud Deployment: Train, optimize, and deploy AI models using modern MLOps practices.Collaboration: Partner with engineering, product, and business teams to embed AI into real-world products and workflows.Mentorship: Guide and upskill team members on ML architecture and best practices.Research: Stay current with the latest generative AI, deep learning, and multimodal model research. 



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